DocumentCode
1184713
Title
Design Optimization of a Bidirectional Microswimming Robot Using Giant Magnetostrictive Thin Films
Author
Zhang, Yongshun ; Cong, Ming ; Guo, Dongming ; Wang, Dianlong
Author_Institution
Key Lab. for Precision & Non-traditional Machining of the Minist. of Educ., Dalian Univ. of Technol., Dalian, China
Volume
14
Issue
4
fYear
2009
Firstpage
493
Lastpage
503
Abstract
This paper presents a bidirectional optimization method on a wireless microswimming robot. The robot is developed based on fin beating propulsion employing two giant magnetostrictive thin films for left and right fins. An innovative drive approach, using separate second-stage resonance frequencies of the left and right fins to generate right and left thrusts, is proposed and implemented on a bidirectional microswimming robot prototype. Dynamic model of the proposed microrobot has been derived based on theoretical analysis. A discrete variate method for optimizing left fin configuration is proposed under the constraints of fixed surface area and sufficient fin end strength, and a genetic algorithms method for optimizing right fin configuration is employed under constraints of symmetry and linearity of bidirectional swimming. Simulation and experimental results have demonstrated that bidirectional swimming performance of the robot is greatly improved with low driving frequency and a large range of swimming speed in both directions.
Keywords
genetic algorithms; giant magnetoresistance; magnetic thin films; microrobots; mobile robots; robot dynamics; bidirectional microswimming robot; bidirectional optimization; discrete variate method; dynamic model; fin beating propulsion; genetic algorithm; giant magnetostrictive thin film; resonance frequency; wireless microswimming robot; Design optimization; giant magnetostrictive thin films (GMFs); microswimming robot; mode shape; resonance frequency;
fLanguage
English
Journal_Title
Mechatronics, IEEE/ASME Transactions on
Publisher
ieee
ISSN
1083-4435
Type
jour
DOI
10.1109/TMECH.2009.2012851
Filename
4797871
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